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Histological Grade of Endometrioid Endometrial Cancer and Relapse Risk Can Be Predicted with Machine Learning from Gene Expression Data
SIMPLE SUMMARY: Implementing machine learning methods into the RNA-seq data analysis pipelines can further improve the efficiency of data utilization in clinical decision making. In this article, we present how machine learning methods can be used to go one step further in data analysis of the globa...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8430924/ https://www.ncbi.nlm.nih.gov/pubmed/34503158 http://dx.doi.org/10.3390/cancers13174348 |